Identifying Suicide Ideation and Suicidal Attempts in a Psychiatric Clinical Research Database using Natural Language Processing

Identifying Suicide Ideation and Suicidal Attempts in a Psychiatric Clinical Research Database using Natural Language Processing

Abstract Research into suicide prevention has been hampered by methodological limitations such as low sample size and recall bias. Recently, Natural Language Processing (NLP) strategies have been used with Electronic Health Records to increase information extraction from free text notes as well as s...

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Autores principales: Andrea C. Fernandes, Rina Dutta, Sumithra Velupillai, Jyoti Sanyal, Robert Stewart, David Chandran
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2018
Materias:
Medicine
R
Science
Q
Acceso en línea:https://doaj.org/article/dbc6035bee2e4daaada61fc92c2d53ed
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